Human attention is in the highest demand it has ever been.

Using algorithms to filter information tailored to each individual user seems to offer a technological solution to a social and informational problem.

But content recommendation systems have also created a bigger, unforeseen crisis.

Kris Shaffer's book, Data versus Democracy, investigates how, in the era of social media, human cognition, algorithmic recommendation systems and human psychology work together to reinforce and exaggerate human bias.

Over seven chapters, Shaffer analyzes pivotal concepts such as algorithmic recommendations, clickbait, familiarity bias and propaganda.

He also supports his arguments using timely case studies like the 2016 US presidential election, the Ferguson Unrest and the GamerGate controversy.

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